Member of Technical Staff

SPIRIT

Greater London

Híbrido

GBP 90.000 - 130.000

Jornada completa

Hace 8 días

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Ventajas ofrecidas por este puesto de trabajo

Travel between NYC and London offices
Competitive compensation
Learning budget
Free lunch and coffee in office
Personal therapy covered

Descripción de la vacante

Slingshot AI is hiring a Member of Technical Staff focused on Machine Learning. You will ship models, training infrastructure, harnesses, and evals end-to-end, building tech that makes Ash a differentiated mental health model and aims to impact billions of lives.

You will join a small, highly skilled team, acting as an owner and delivering value to users. We value how you think and build, not just background, and welcome engineers curious about ML to apply.

Formación

  • 3+ years of engineering experience, owning systems other people rely on.
  • Experience working with LLMs, ideally with fine-tuning, harness engineering, and evals
  • Proficient in using agents to do your homework for you
  • Driven by creating a world-class product with a world-class team, want to own what you build, and you're happy tearing down experiments and features as we learn
  • Experience in a fast-paced startup, or the drive to thrive in one.
  • Collaborative and direct. You enjoy working in person with a small team.

Responsabilidades

  • Ship models, training infrastructure, harnesses and evals end-to-end for Ash.
  • Be a core member of a small, highly skilled team and own value delivery to users.
  • Focus on a model-agnostic post-training engine and scalable performance improvements.
  • Adopt a learning mindset and be willing to work with a wide toolset as needed.

Conocimientos

Engineering
LLMs
Agents
Startup environment
Collaborative in person
Team ownership

Herramientas

Dart/Flutter
Kotlin
Next.js/TypeScript
Rust
gRPC
GCP

Descripción del empleo

Slingshot AI

Slingshot AI is the team behind Ash, the first AI designed for mental health. Our mission is to make support more accessible and help people change their lives in the ways they want.

We’re building a world-class team by empowering individuals with the autonomy, flexibility, and support they need to do their best work. We dream big, iterate fast, and care deeply. If that sounds like you, we’d love to hear from you.

Our team spans machine learning, product, engineering, conversational design, clinical, growth, and operations, with offices in both New York City and London.

We’re a well-funded Series A company, having raised $93M from Andreessen Horowitz, Radical Ventures, Forerunner Ventures, plus top-tier tech investors involved in ElevenLabs, Captions, Shopify, Plaid, Notion, Canva, Twitch, Airtable, and many others.

Slingshot AI is the team behind Ash, the first AI designed for mental health. Our mission is to make support more accessible and help people change their lives in the ways they want.

We’re building a world-class team by empowering individuals with the autonomy, flexibility, and support they need to do their best work. We dream big, iterate fast, and care deeply. If that sounds like you, we’d love to hear from you.

Our team spans machine learning, product, engineering, conversational design, clinical, growth, and operations, with offices in both New York City and London.

We’re a well-funded Series A company, having raised $93M from Andreessen Horowitz, Radical Ventures, Forerunner Ventures, plus top-tier tech investors involved in ElevenLabs, Captions, Shopify, Plaid, Notion, Canva, Twitch, Airtable, and many others.

The role

As a Member of Technical Staff focused on Machine Learning, you will ship models, training infrastructure, harnesses and evals end-to-end: designing, building, and launching the tech that makes Ash differentiated as a specialized model for mental health, to change a billion minds and lives.

As a core member of a small but highly skilled team, we expect you to act as an owner and to care passionately about delivering value to our users and ultimately to make people's lives better. We are looking for builders who care deeply about the quality of their work and want to ship things that make a real difference in people's lives. We care more about how you think and build than your specific background. If you're a great engineer who's curious about ML, we'd love to hear from you.

We work on a model-agnostic post-training engine running on our own cluster of leased GPUs managed by SkyPilot, trained by an auto-research loop, and evaluated with our home-grown eval index aimed specifically at mental health. We’re constantly improving, and focus on building feedback loops over features, and constantly learning from our production performance, our psych research team, and scalable data sources. Our product tech stack uses Dart/Flutter for the app, Kotlin for core backend services, and Next.js/TypeScript for internal tooling, as well as Rust for low level media streaming. We use gRPC and GCP (Kubernetes, Cloud Run) as our primary cloud provider. You're not required to be an expert in all of these tools, but we would like you to come with a learning mindset and to not be afraid of getting your hands dirty with whatever tool the job might require.

About you
  • 3+ years of engineering experience, owning systems other people rely on.

  • Experience working with LLMs, ideally with fine-tuning, harness engineering, and evals

  • Proficient in using agents to do your homework for you

  • Driven by creating a world-class product with a world-class team, want to own what you build, and you're happy tearing down experiments and features as we learn

  • Experience in a fast-paced startup, or the drive to thrive in one.

  • Collaborative and direct. You enjoy working in person with a small team.

What we offer
  • A chance to join a passionate tight knit team working on something to change the world

  • Competitive compensation (top of personal market) and meaningful equity

  • Travel between our NYC and London offices

  • Usual startup perks like free lunch and coffee in office plus a generous learning budget

  • We cover your personal therapy

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